摘要
基于不确定性知识处理特点,在认知机理下,通过基于属性定量与定性之间的转化关系而建立的定性映射,给出了属性粒的概念及其逻辑计算公式,并在此基础上构建了初步的粒逻辑系统,最后通过Petri网对其逻辑推理进行形式化描述。结果表明其是有效的,使得有关认知识别与判断推理等思维操作能得到较好的表达。
Under cognitive mechanism,the concepts and logical formula of attribute granular was given throuth qualitative mapping based on the characteristics of uncertainty knowledge processing.Qualitative mapping was established based on the transformation of the relationship between the properties of quantitative and qualitative.The initial granular logic system was constructed on this basis.Finally,the granular logical reasoning was described in the Petri net formal methods.The results show that it is effective.It makes the thinking operation that is related to cognitive identification and judgement can get a better expression.
出处
《计算机科学》
CSCD
北大核心
2012年第11期221-225,共5页
Computer Science
基金
广东省自然科学基金项目(2009170004203010)
广东高校优秀青年创新人才培养计划项目(LYM09137)
广东省科技计划项目(2012B010100049)资助
关键词
定性映射
定性基准变换
粒计算
粒逻辑
PETRI网
Qualitative mapping
Qualitative criterion transformation
Granular computing
Granular logic
Petri net
